Classification of alcoholics and non-alcoholics via EEG using SVM and neural networks

3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Volumn , Issue , 2009, Pages

  Nazari Kousarrizi, M R ^a   Asadi Ghanbari, A ^a   Gharaviri, A ^a   Teshnehlab, M ^a   Aliyari, M ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Biological signal processing; Component; EEG; Neural net work; Pattern recognition; Support vector machine

Indexed keywords

BIOLOGICAL SIGNALS; CLASSIFICATION ACCURACY; COMPONENT; DIMENSION REDUCTION; EEG SIGNALS; ENVIRONMENTAL FACTORS; FEATURE VECTORS; MOTHER WAVELETS; NEURAL NET; PRINCIPLE COMPONENT ANALYSIS; SIMULATION RESULT; SUPPORT VECTORS MACHINE;

BIOINFORMATICS; ELECTROENCEPHALOGRAPHY; IMAGE RETRIEVAL; PATTERN RECOGNITION; POWER SPECTRUM; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; VECTORS;

NEURAL NETWORKS;

EID: 72749097214     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2009.5162504     Document Type: Conference Paper

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